问如何使用opencv4.2 (Android)检测方格
EN

Stack Overflow用户

提问于 2020-02-26 13:08:36

回答 1查看 298关注 0票数 0

我正在检测一个长方形，并将颜色与尿液测试条进行比较。

我怎么能检测到所有的方块？我想在下面的图片中检测到其余的方块。我试过改变亮度和对比度

这是我的代码：

MainActivity.java

...
@Override
    protected void onActivityResult(int requestCode, int resultCode, Intent data) {
        ...
                    Bitmap img = BitmapFactory.decodeStream(in);
                    in.close();
                    Bitmap changeImg = changeBitmapContrastBrightness(img, (float)1, 10);
                    Mat cMap = new Mat();
                    Utils.bitmapToMat(changeImg, cMap);
                    List<MatOfPoint> squres = processImage(cMap);

                    for (int i = 0; i < squres.size(); i++) {
                        setLabel(cMap, String.valueOf(i), squres.get(i));
                    }

                    Bitmap resultBitmap = Bitmap.createBitmap(cMap.cols(), cMap.rows(), Bitmap.Config.ARGB_8888);
                    Utils.matToBitmap(cMap, resultBitmap);
                    imgView.setImageBitmap(resultBitmap);
                ...
    }
...
private static List<MatOfPoint> processImage(Mat img){
        ArrayList<MatOfPoint> squares = new ArrayList<>();
        Mat matGray = new Mat();
        Mat matCny = new Mat();
        Mat matBlur = new Mat();
        Mat matThresh = new Mat();
        Mat close = new Mat();
        // 노이즈 제거위해 다운스케일 후 업스케일
//        Imgproc.pyrDown(matInit, matBase, matBase.size());
//        Imgproc.pyrUp(matBase, matInit, matInit.size());
        // GrayScale
        Imgproc.cvtColor(img, matGray, Imgproc.COLOR_BGR2GRAY);
        // Blur
        Imgproc.medianBlur(matGray, matBlur, 5);
        //        // Canny Edge 검출
//        Imgproc.Canny(matBlur, matCny, 0, 255);
//        // Binary
        Imgproc.threshold(matBlur, matThresh, 160, 255, Imgproc.THRESH_BINARY_INV);
        Imgproc.morphologyEx(matThresh, close, Imgproc.MORPH_CLOSE, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3,3)));
//        // 노이즈 제거
//        Imgproc.erode(matCny, matCny, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new org.opencv.core.Size(6, 6)));
//        Imgproc.dilate(matCny, matCny, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new org.opencv.core.Size(12, 12)));

        List<MatOfPoint> contours = new ArrayList<>();
        Mat hierarchy = new Mat();
        Imgproc.findContours(close, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
        double min_area = 0;
        double max_area = 10000;
        for(MatOfPoint cnt : contours){
            double contourArea = Imgproc.contourArea(cnt);

            if(contourArea > min_area && contourArea < max_area){
                squares.add(cnt);
            }
        }
        return squares;
    }

App结果图像